Dmitry Genkin

439 total citations
15 papers, 364 citations indexed

About

Dmitry Genkin is a scholar working on Immunology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dmitry Genkin has authored 15 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 4 papers in Pathology and Forensic Medicine and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dmitry Genkin's work include Immunotherapy and Immune Responses (4 papers), Multiple Sclerosis Research Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Dmitry Genkin is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Multiple Sclerosis Research Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Dmitry Genkin collaborates with scholars based in Russia, United States and France. Dmitry Genkin's co-authors include I. V. Smirnov, Alexander G. Gabibov, Alexey A. Belogurov, А. В. Степанов, Н. А. Пономаренко, Andrew Bacon, I. I. Vorobiev, Stanislav S. Terekhov, George Tetz and Hongji Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Dmitry Genkin

15 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dmitry Genkin Russia 11 159 151 69 41 39 15 364
Suhe Dong China 13 184 1.2× 67 0.4× 77 1.1× 42 1.0× 9 0.2× 26 402
Kenshi Yoshida Japan 10 157 1.0× 141 0.9× 24 0.3× 93 2.3× 29 0.7× 20 382
Khushi L. Matta United States 10 290 1.8× 85 0.6× 43 0.6× 23 0.6× 18 0.5× 22 371
Seon-Hee Kim South Korea 11 273 1.7× 149 1.0× 25 0.4× 164 4.0× 20 0.5× 25 488
Chung‐Gi Lee South Korea 9 248 1.6× 312 2.1× 34 0.5× 110 2.7× 12 0.3× 14 526
Ben D.‐M. Chen United States 11 192 1.2× 186 1.2× 14 0.2× 65 1.6× 20 0.5× 18 401
Guodong Li China 13 282 1.8× 187 1.2× 20 0.3× 134 3.3× 14 0.4× 26 511
David A. Scheiblin United States 10 252 1.6× 71 0.5× 37 0.5× 66 1.6× 23 0.6× 15 444

Countries citing papers authored by Dmitry Genkin

Since Specialization
Citations

This map shows the geographic impact of Dmitry Genkin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dmitry Genkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Genkin more than expected).

Fields of papers citing papers by Dmitry Genkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry Genkin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dmitry Genkin. The network helps show where Dmitry Genkin may publish in the future.

Co-authorship network of co-authors of Dmitry Genkin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Genkin. A scholar is included among the top collaborators of Dmitry Genkin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitry Genkin. Dmitry Genkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Степанов, А. В., Wenjian Wang, Yingqin Hou, et al.. (2024). Abstract B048: Neutrophil extracellular traps-targeting DNase I enhances the therapeutic efficacy of CAR-T cell adoptive immunotherapy in a syngeneic murine metastasis model. Cancer Research. 84(22_Supplement). B048–B048. 1 indexed citations
2.
Xia, Yujia, Jiayi He, Hongji Zhang, et al.. (2020). AAV‐mediated gene transfer of DNase I in the liver of mice with colorectal cancer reduces liver metastasis and restores local innate and adaptive immune response. Molecular Oncology. 14(11). 2920–2935. 78 indexed citations
3.
Onuma, Amblessed, Jiayi He, Yujia Xia, et al.. (2020). Neutrophil extracellular traps blockade in combination with PD-1 inhibition in treatment of colorectal cancer metastasis.. Journal of Clinical Oncology. 38(15_suppl). e16002–e16002. 2 indexed citations
4.
Степанов, А. В., Oleg V. Markov, Ivan V. Chernikov, et al.. (2018). Autocrine-based selection of ligands for personalized CAR-T therapy of lymphoma. Science Advances. 4(11). eaau4580–eaau4580. 21 indexed citations
5.
Jain, Sanjay, Umesh Shaligram, Joseph M. Martinez, et al.. (2018). Clinical Application of Polysialylated Deoxyribonuclease and Erythropoietin. Recent Patents on Drug Delivery & Formulation. 12(3). 212–222. 11 indexed citations
6.
Belogurov, Alexey A., К. А. Захаров, Yakov A. Lomakin, et al.. (2016). CD206-Targeted Liposomal Myelin Basic Protein Peptides in Patients with Multiple Sclerosis Resistant to First-Line Disease-Modifying Therapies: A First-in-Human, Proof-of-Concept Dose-Escalation Study. Neurotherapeutics. 13(4). 895–904. 34 indexed citations
7.
Lomakin, Yakov A., Alexey A. Belogurov, А. В. Степанов, et al.. (2016). Administration of Myelin Basic Protein Peptides Encapsulated in Mannosylated Liposomes Normalizes Level of Serum TNF-αand IL-2 and Chemoattractants CCL2 and CCL4 in Multiple Sclerosis Patients. Mediators of Inflammation. 2016. 1–8. 25 indexed citations
8.
Smirnov, I. V., I. I. Vorobiev, Alexey A. Belogurov, et al.. (2015). Chemical Polysialylation of Recombinant Human Proteins. Methods in molecular biology. 1321. 389–404. 10 indexed citations
9.
Terekhov, Stanislav S., I. V. Smirnov, I. A. Dyachenko, et al.. (2015). Chemical Polysialylation and In Vivo Tetramerization Improve Pharmacokinetic Characteristics of Recombinant Human Butyrylcholinesterase-Based Bioscavengers. Acta Naturae. 7(4). 136–141. 14 indexed citations
10.
Smirnov, I. V., Alexey A. Belogurov, I. A. Dyachenko, et al.. (2013). Chemical polysialylation of human recombinant butyrylcholinesterase delivers a long-acting bioscavenger for nerve agents in vivo. Proceedings of the National Academy of Sciences. 110(4). 1243–1248. 55 indexed citations
11.
Vorobiev, I. I., Н. А. Орлова, Sanjay Jain, et al.. (2012). Chemical polysialylation: Design of conjugated human oxyntomodulin with a prolonged anorexic effect in vivo. Biochimie. 95(2). 264–270. 10 indexed citations
12.
Belogurov, Alexey A., А. В. Степанов, I. V. Smirnov, et al.. (2012). Liposome‐encapsulated peptides protect against experimental allergic encephalitis. The FASEB Journal. 27(1). 222–231. 49 indexed citations
13.
Степанов, А. В., Alexey A. Belogurov, A. E. Mamedov, et al.. (2012). Therapeutic effect of mbp immunodominant peptides encapsulated in nanovehicles in the development of experimental autoimmune encephalomyelitis in DA rats. Russian Journal of Bioorganic Chemistry. 38(3). 266–273. 6 indexed citations
14.
Vorobiev, I. I., I. V. Smirnov, Georgy B. Telegin, et al.. (2009). Strategies for induction of catalytic antibodies toward HIV-1 glycoprotein gp120 in autoimmune prone mice. Molecular Immunology. 47(1). 87–95. 40 indexed citations
15.
Gabibov, Alexander G., Alain Friboulet, Thomas Deffieux, et al.. (2002). Antibody Proteases: Induction of Catalytic Response. Biochemistry (Moscow). 67(10). 1168–1179. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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